ML.NET

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ML.NET Model Builder is an intuitive graphical Visual Studio extension to build, train, and deploy custom machine learning models.

Model Builder uses automated machine learning (AutoML) to explore different machine learning algorithms and settings to help you find the one that best suits your scenario.

Select Image Classification Scenario

Select Trainning Environment

Once you have chosen your scenario, Model Builder asks you to provide a dataset

Train

In my case, this training lasted a little over 4 hours

Evaluate

Consume

Add solution ConsoleApp and WebApi

OPEN PowerShell and Test your WebAPI

$body = @{ImageSource = "Image location on your local machine"
Invoke-RestMethod "https://localhost:'PORT'/predict" -Method Post -Body ($body | ConvertTo-Json) -ContentType "application/json"

DataSet: https://www.kaggle.com/muhammadshahzadkhan/dogvscat

ML.NET Documentation

https://docs.microsoft.com/en-us/dotnet/machine-learning/
https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/model-builder